Lebanon vs Papua New Guinea: Maritime transport CO2 emissions (experimental)

Lebanon
304,716 Tonnes
in 2025
Papua New Guinea
259,513 Tonnes
in 2025
Lebanon rank
44th
Papua New Guinea rank
45th

Maritime transport CO2 emissions (experimental) over time

  • Lebanon
  • Papua New Guinea
100.0k200.0k300.0k400.0k201920222025

How they compare

Lebanon currently reports 304,716 Tonnes against 259,513 Tonnes in Papua New Guinea, a difference of 45,203 Tonnes.

That makes Lebanon's figure about 1.2 times Papua New Guinea's.

The two have swapped places 1 time across 7 shared years of data; in 2019 it was Papua New Guinea ahead.

Lebanon ranks 44th and Papua New Guinea ranks 45th of 138 countries.

Papua New Guinea has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Lebanon Papua New Guinea Difference Ahead
2010s 64,630 Tonnes 304,608 Tonnes 239,978 Tonnes Papua New Guinea
2020s 167,092 Tonnes 257,450 Tonnes 90,358 Tonnes Papua New Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maritime transport co2 emissions, Lebanon or Papua New Guinea?
Lebanon, at 304,716 Tonnes against 259,513 Tonnes in Papua New Guinea as of 2025.
What is the difference in maritime transport co2 emissions between Lebanon and Papua New Guinea?
45,203 Tonnes, with Lebanon ahead.
How many years of comparable data are there for Lebanon and Papua New Guinea?
7 years are reported by both, from 2019 to 2025.
How do Lebanon and Papua New Guinea rank globally for maritime transport co2 emissions?
Lebanon ranks 44th and Papua New Guinea ranks 45th of 138 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Maritime transport CO2 emissions (experimental). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lebanon vs Papua New Guinea: Maritime transport CO2 emissions. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 07 October 2026, from https://climate.statizoid.com/compare/maritime-transport-co2-emissions-experimental/lebanon/papua-new-guinea/

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About this data

Indicator
Maritime transport CO2 emissions (experimental)
Unit
Tonnes
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
160 places, 1,105 data points, 2019–2025
Last refreshed

This experimental dataset includes annual, quarterly, and monthly information on carbon dioxide (CO2) emissions from maritime transport based on ship-tracking information collected via Automatic Identification System (AIS) transponders, covering all large vessels (above 300 gross tonnage) around the world, accessed via the United Nations Global Platform, from 2019 onwards. The CO2 emissions are estimated by the OECD, based on a consistent methodology across countries and include emissions from both domestic and international voyages. The CO2 emissions are classified using the ship-type classification used by the International Maritime Organisation (IMO) distinguishing between 19 vessel categories such as bulk carriers, tankers, and cruise ships. The database provides a measure of CO2 emissions on a territory basis for domestic navigation, which is used for reporting in the UN Framework Convention on Climate Change (UNFCCC) inventories; and also on a residence basis, which is used to estimate the emissions of maritime transport (H50 in the International Standard Industrial Classification of All Economic Activities, or ISIC) in the SEEA Air Emission Accounts (AEAs). Seven components of these CO2 emissions measures can be selected from the ‘Vessel emissions ’ filter. In the tables, these are also shown with the letters A, B, C, D, E, F and G. The aggregate measures of CO2 emissions are calculated as: Domestic navigation = A + C International navigation (memo item) = D + G Air emissions accounts: maritime transport (ISIC H50) = A + B + D + E + F For residence based measures, the allocation of emissions to countries is based on the residence of the companies that operate the ships. More information can be found on the dataset webpage